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LASA: Location-Aware Scheduling Algorithm In Industrial IoT Networks With Mobile Nodes
Proceedings - 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2023
  • Marco Pettorali
  • Francesca Righetti
  • Carlo Vallati
  • Sajal K. Das, Missouri University of Science and Technology
  • Giuseppe Anastasi
Abstract

The Synchronized Single-hop Multiple Gateway (SHMG) is a framework recently proposed to support mobility into 6TiSCH, the standard network architecture defined for Industrial Internet of Things (IIoT) deployments. SHMG supports industrial applications with stringent requirements by adopting the Shared-Downstream Dedicated-Upstream (SD-DU) scheduling policy, which allocates to Mobile Nodes (MNs) a set of dedicated transmission opportunities for uplink data. Such allocation is performed on all the Border Routers (BRs) of the network without considering the location of MNs. Transmission opportunities are reserved also in BRs far from the current location of the MN, resulting in a waste of resources that limits the maximum number of nodes supported by the network. To overcome this problem, we propose a Location-Aware Scheduling Algorithm (LASA) that takes into account the position of MNs to build and maintain an efficient communication schedule. Specifically, LASA tries to prevent conflicts arising due to node mobility, in a preventive manner, so as to minimize packet dropping. We evaluate LASA via simulation experiments. Our results show that LASA allows to increase the number of MNs by more than four times, with respect to SD-DU, yet guaranteeing a Packet Delivery Ratio higher than 98%.

Department(s)
Computer Science
Comments

National Science Foundation, Grant I53C22000690001

Keywords and Phrases
  • 6TiSCH,
  • IIoT,
  • Location aware,
  • Mobility,
  • Scheduling Function
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
1-1-2023
Publication Date
01 Jan 2023
Disciplines
Citation Information
Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, et al.. "LASA: Location-Aware Scheduling Algorithm In Industrial IoT Networks With Mobile Nodes" Proceedings - 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2023 (2023) p. 185 - 194
Available at: http://works.bepress.com/sajal-das/320/